Machine learning with neural networks for parameter optimization in twin-field quantum key distribution

DOI10.1007/S11128-023-04063-5OpenAlexW4385873880MaRDI QIDQ6073968

Jia-Le Kang, XiaoPeng Liu, Jia-Hui Xie, Ming-Hui Zhang

Publication date: 18 September 2023

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11128-023-04063-5

zbMATH Keywords

machine learningquantum key distributionparameters optimizationtwin-field

Mathematics Subject Classification ID

Quantum computation (81P68)

Cites Work

• Unnamed Item
• Quantum cryptography: public key distribution and coin tossing
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• Finite-key analysis of sending-or-not-sending twin-field quantum key distribution with intensity fluctuations
• Optimal decoy intensity for decoy quantum key distribution
• Learning representations by back-propagating errors

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